Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification

Please use this identifier to cite or link to this item: http://hdl.handle.net/10662/20277

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DC Field	Value	Language
dc.contributor.author	Roy, Swalpa Kumar	-
dc.contributor.author	Haut Hurtado, Juan Mario	-
dc.contributor.author	Paoletti Ávila, Mercedes Eugenia	-
dc.contributor.author	Dubey, Shiv Ram	-
dc.contributor.author	Plaza, Antonio	-
dc.date.accessioned	2024-02-07T11:38:12Z	-
dc.date.available	2024-02-07T11:38:12Z	-
dc.date.issued	2021-02	-
dc.identifier.issn	0196-2892	-
dc.identifier.uri	http://hdl.handle.net/10662/20277	-
dc.format.extent	16	es_ES
dc.format.mimetype	application/pdf	en_US
dc.language.iso	eng	es_ES
dc.relation.ispartofseries	;5500615	-
dc.subject	Deep Learning	es_ES
dc.subject	Convolutional Neural Networks	es_ES
dc.subject	spectral-spatial hyperspectral image classification	es_ES
dc.title	Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification	es_ES
dc.type	article	es_ES
dc.description.version	peerReviewed	es_ES
europeana.type	TEXT	en_US
dc.rights.accessRights	closedAccess	es_ES
europeana.dataProvider	Universidad de Extremadura. España	es_ES
dc.contributor.affiliation	Universidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicaciones	es_ES
dc.identifier.publicationtitle	IEEE Transactions on Geoscience and Remote Sensing	es_ES
dc.identifier.publicationfirstpage	1	es_ES
dc.identifier.publicationlastpage	15	es_ES
dc.identifier.publicationvolume	60	es_ES
dc.identifier.e-issn	1558-0644	-
dc.identifier.orcid	0000-0001-6701-961X	es_ES
Appears in Collections:	DTCYC - Artículos

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